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First-line brentuximab vedotin plus chemotherapy to improve overall survival in patients with stage III/IV classical Hodgkin lymphoma: An updated analysis of ECHELON-1.

2022· article· en· W4281683029 on OpenAlexaff
Stephen M. Ansell, Joseph M. Connors, John Radford, Won Seog Kim, Andrea Gallamini, Radhakrishnan Ramchandren, Jonathan W. Friedberg, Ranjana H. Advani, Martin Hutchings, Andrew M. Evens, Piotr Smolewski, Kerry J. Savage, Nancy L. Bartlett, Hyeon Seok Eom, Jeremy S. Abramson, Cassie Dong, Frank Campana, Keenan Fenton, Markus Puhlmann, David J. Straus

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsSpinal Cord Injury BC
Fundersnot available
KeywordsABVDDacarbazineBrentuximab vedotinMedicineVinblastineInternal medicineOncologyBleomycinPopulationProgression-free survivalChemotherapy regimenChemotherapySurgeryLymphomaVincristineHodgkin lymphomaCyclophosphamide

Abstract

fetched live from OpenAlex

7503 Background: To date, an overall survival (OS) benefit from upfront treatment for new treatment combinations over existing approaches has rarely been shown in first-line classical Hodgkin lymphoma (cHL). With the introduction of newer active therapies for relapsed/refractory disease, demonstration of improved OS with first-line therapy has been challenging. In ECHELON-1 (NCT01712490), 5-year follow-up analyses supported the long-term progression-free survival (PFS) benefit with first-line brentuximab vedotin, doxorubicin, vinblastine, and dacarbazine (A+AVD) vs doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) in patients (pts) with stage III/IV cHL, independent of interim positron emission tomography status. A+AVD had a manageable long-term safety profile, with numerically fewer second malignancies and a greater number of pregnancies reported vs ABVD (Connors et al, NEJM 2018; Straus et al, Lancet Haematol 2021). We report a prespecified OS analysis after approximately 6 years’ follow-up (cut-off, June 1, 2021). Methods: Pts were randomized 1:1 to receive up to 6 cycles of A+AVD (n = 664) or ABVD (n = 670) on day 1 and 15 every 28 days. OS was the key secondary endpoint and was an event-driven, pre-specified, alpha-controlled analysis in the intention to treat population. Results: At a median follow-up of 73 months, 39 and 64 OS events occurred in A+AVD and ABVD arms, respectively: OS significantly favored A+AVD vs ABVD (HR 0.590; 95% confidence interval [CI] 0.396–0.879; p = 0.009). Estimated 6-year OS rates (95% CI) were 93.9% (91.6–95.5) vs 89.4% (86.6–91.7) with A+AVD vs ABVD, respectively. There was a consistent OS benefit for A+AVD vs ABVD across prespecified subgroups. The 6-year PFS estimate was 82.3% (79.1–85.0) vs 74.5% (70.8–77.7) with A+AVD vs ABVD, respectively (HR 0.678 [95% CI 0.532–0.863]). Overall, A+AVD had a comparable long-term safety profile to ABVD. Treatment-emergent peripheral neuropathy continued to resolve or improve in both arms, with 86% (379/443) and 87% (249/286) of cases in the A+AVD and ABVD arms either completely resolving (72% vs 79%) or improving (14% vs 8%) by last follow-up. Fewer second malignancies were reported in the A+AVD vs ABVD arm (23 vs 32). More female patients reported pregnancy (49 vs 28) or live births (42 vs 19 in females) in the A+AVD vs the ABVD arm; no stillbirths were reported. No new safety signals were identified. Conclusions: A+AVD treatment resulted in a statistically significant 41% reduction in the risk of death vs ABVD, with a manageable safety profile consistent with prior reports. These outcomes confirm A+AVD as a preferred option for pts with previously untreated stage III/IV cHL. Clinical trial information: NCT01712490.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.385
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2022
Admission routes1
Has abstractyes

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